Collection, Organization and Analysis of large sets of data is difficult. That's why Big Data needs talent! Do you have an idea about the number of edits an encyclopedic website goes in a single day? Chances are, you won't! After all, the data is huge and difficult to compile.

owner

Thank you all for coming and launching the Dallas Data Brewery Meetup. The balance of backgrounds ranging from technical to business was great. I hope that the Meetup will give you opportunity to share knowledge, give answers to your questions or connect with people that can provide additional insights.

Topics that we touched yesterday that might be of interest for a further discussions:

About this community

For people interested in getting useful information out of the data. We bring together data analysts (tech people) and data users (non-tech/biz people) to share their stories. Sharing and learning ways how to work with data, how to use data and most importatnly: why?
We prefer open-source solutions.

owner

Thanks for coming to Dallas Data Brewery monthly meetup and sharing your stories and views. We had a great talk about data quality or "fitness of data for intended purpose" if you like. There is much more to talk about in more details within this topic and we will definitely dive deeper during our future meetups. Here are the slides for short topic introducion...

owner

What would you like to talk or hear about? Here are some suggested topics:

Topic 1: Perception of Data Quality – What is "quality data"? How business side sees it? How data engineers see it? Any stories of misunderstandings?

Topic 2: Troubles of Getting Data – What are the issues of getting the data to begin with? Existence, structure, security, laws, automation, digitization, scraping, quality, volume, speed ... How do you deal with it? What tricks and tools to use and why?

Topic 3: ??? – you choose

Bring your stories, questions and worries. You are welcome to show few slides if you have to share.